| 一种基于神经网络的超稳定自适应控制算法 |
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| 引用本文： | 李爱军,章卫国,沈毅.一种基于神经网络的超稳定自适应控制算法[J].电光与控制,2003,10(3):16-18,22. |
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| 作者姓名： | 李爱军 章卫国 沈毅 |
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| 作者单位： | 西北工业大学,陕西,西安,710072 |
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| 摘 要： | 提出了一种用于控制复杂非线性系统的超稳定自适应控制算法。使用波波夫超稳定性原理设计控制器。用神经网络在线辨识系统的建模误差及不确定性因素，辨识结果作为补偿信号以实现系统的鲁棒控制。对一双输入双输出非线性系统的仿真结果表明，所提出的超稳定自适应控制算法具有较好的性能。
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| 关 键 词： | 自适应控制 神经网络 非线性系统 |
| 文章编号： | 1671-637X(2003)03-0016-03 |
A hyperstable adaptive control algorithm based on neural networks |
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| LI Ai jun,ZHANG Wei guo,SHEN Yi.A hyperstable adaptive control algorithm based on neural networks[J].Electronics Optics & Control,2003,10(3):16-18,22. |
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| Authors: | LI Ai jun ZHANG Wei guo SHEN Yi |
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| Abstract: | The author proposed a hyperstable adaptive control algorithm for complicated nonlinear systems. The Popov hyperstability principle is used in the design of the controller. The modeling errors and uncertainties of the system are identified on line by a neural network. The identification results are taken as compensation signals to realize robust control of nonlinear systems. Simulation results of a nonlinear dual input, dual output system indicate that dynamic property of the proposed hyperstable adaptive control algorithm is desirable. |
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| Keywords: | adaptive control neural network nonlinear system |
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